MASTER OF INFORMATION TECHNOLOGY

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MASTER OF INFORMATION TECHNOLOGY

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals who work with data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

What You Will Study

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals that work use data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

The Master of Information Technology has been designed to create professionals equipped with the toolkit they need to tackle today’s most pressing decision support challenges for businesses and organisations, provide an understanding of theoretical and technological research advances in AI, particularly in the context of data analytics and applied artificial intelligence. In addition, students are given a good grounding in the ethical, cultural, and social responsibility they have as AI and data analytics professionals. The course also encourages them to be creative and entrepreneurial thinkers who can use Innovative thinking to help transform existing organisations and create new business ventures.

Students have the opportunity to study current trends and predict future ones in the area of Artificial Intelligence and its associated technologies. A double capstone subject will enable students to synthesise their knowledge and skills in an applied task. Some students will engage in their own entrepreneurial venture and others will engage in applyingdata analytics and artificial intelligence techniques to industry related projects.

Students will study a core of 8 subjects which provides a good grounding in managing data, programming, professional communication, AI and entrepreneurship. In addition, they have the flexibility to choose between two majors: Data Analytics or Applied Artificial Intelligence.

Career Outcomes

On successful completion of this course, students will demonstrate mastery of current theoretical principles and research outcoes in their major area of study to:

analyse complex real-world situations to identify opportunities for the application of advanced technological approaches that can transform existing organisations and support entrepreneurial business ventures;

critically analyse a complex problem, and evaluate a range of advanced technologies to select an appropriate solution methodology using an evidence-based justification;

generate creative solutions to address complex real-world problems by utilising advanced technologies and tools to design and implement software solutions and critically evaluate the outcomes;

communicate complex technical and theoretical concepts utilised in formulating detailed solution and implementation processes to a variety of audiences using advanced research, presentation and writing skills;

work collaboratively as a member and/or leader of diverse teams, employing appropriate interpersonal, professional, and technical communication skills;

critically analyse the role that legal compliance, ethical conduct and social responsibility play in advanced professional practice;

critically reflect on personal performance and learning as a basis for self-management and continuing professional and personal development.

Year 1

Study period	Subject code	Subject name	Subject type / major	Pre/Co-requisites	Mode of delivery	Credit points
1	COM501	IT Professional Communication and Ethics	Core	NA	F2F	10
1	DAT501	Database Design and Implementation	Core	NA	F2F	10
1	PRO501	Introduction to Programming and Algorithms	Core	NA	F2F	10
Select one subject from a major:
1	MAT501	Discrete Mathematics	AAI	NA	F2F	10
1	DAT502	Introduction to Data Science	DA	NA	F2F	10

2	PRO502	Artificial Intelligence	Core	PRO501	F2F	10
2	ENG501	Software Design and Development for Data Science	Core	PRO501 and DAT502	F2F	10
Select two subjects from a major:
2	DAT503	Foundations of Statistical Learning	DA	DAT501 and DAT502	F2F	10
2	PRO503	Programming AI Applications	AAI	PRO501 and DAT501 and MAT501	F2F	10
2	DAT504	Data Wrangling	DA	DAT501 and DAT502	F2F	10
2	ENG502	AI Planning for Autonomy	AAI	PRO502	F2F	10

Year 2

Study period	Subject code	Subject name	Subject type / major	Pre/Co-requisites	Mode of delivery	Credit points
3	CAP601	Final Project A (Analysis and Design)	Core	First year core and major subjects	F2F	10
Select three subjects from a major:
3	DAT605	Big Data Processing	DA	DAT503 and DAT504	F2F	10
3	DAT606	Data Mining	DA	DAT503 and DAT504	F2F	10
3	DAT607	Social Media and Networks Analytics	DA	DAT503 and DAT504	F2F	10
3	PRO605	Computer Vision and Automation	AAI	ENG502	F2F	10
3	PRO604	Evolutionary Computing	AAI	PRO502	F2F	10
3	PRO606	Machine Learning	AAI	PRO502 and PRO503	F2F	10
4	COM602	Information Technology, Entrepreneurship and Innovation	Core	COM501	F2F	10
4	CAP602	Final Project B (Implementation)	Core	CAP601	F2F	10
Select two subjects from a major:
4	PRO607	Intelligent Decision Making	AAI	PRO606	F2F	10
4	PRO608	Deep Learning	AAI	PRO606	F2F	10
4	DAT608	Applications of Business Intelligence	DA	DAT504	F2F	10
4	DAT609	Big Data Management	DA	DAT605	F2F	10

Career Outcomes

There are a wide range of opportunities for students with skills in the application of Artificial Intelligence and Data Analytics. Many organisations are seeking graduates who can manage large data sets and extract useful information from them. A recent SEEK.com search (March 16 2022), for example, identified 5452 positions that mentioned Data Analytics directly. The growing interest and use of AI is also providing opportunities with the SEEK.com survey listing 614 job opportunities in this area. It is likely, however, that employers who are seeking software and application developers will be attracted to a graduate who has software development skills with an AI emphasis on areas such as machine learning, perception and language, human-AI interaction, and decision-making. Some common employment options for graduates of the course include:

Business Analyst

Business Intelligence Developer.

AI software developer.

Machine Learning Engineer.

Course Entry Requirements

Master of Information Technology Course Entry Requirements
Course:	Master of Information Technology
Minimum age criteria: all applicants	To be eligible for admission, the applicant must be at least 18 years of age on the course commencement date.
Applicants with higher education study: (bridging or enabling course)	Applicants must have an Australian Bachelor’s degree (AQF level 7) or overseas equivalent in any discipline.
Applicants with Vocational Education and Training (VET) study:	Not Applicable
Applicants with work and life experience:	Not Applicable
Applicants with recent secondary education:	Not Applicable
Assumed knowledge: all applicants	Before the applicant starts this course, it is assumed they have studied mathematics or a related subject in an undergraduate degree or the final year of secondary education or equivalent. If the applicant does not have the subject knowledge they can still apply for the course and will be encouraged to actively participate in the support activities provide by AIAT.
Additional admission criteria for international students:	Applicants must meet the English Language requirements set out in AIAT’s Admissions Policy and Procedure. Applicants meet the minimum requirement if they have: completed two years or longer of study in Australia; or successful completion of an Australian Year 12 program; or successful completion of an English language course approved by AIAT from a registered English Language Intensive Course for Overseas Students (ELICOS) provider. Such courses give students the minimum English Language Proficiency (ELP) standard as specified in Table A of the AIAT Admissions Procedure; or achievement of the minimum requirements in an approved English language test no less than 24 months prior to commencement of studies at AIAT. These are documented in Table B of AIAT’s Admissions Procedure and are IELTS (Academic) Overall 6.5 (min. sub-score of 6.0 each) TOEFL paper based test score of 550 (min. 4.5 TWE – Test of Written English) TOEFL – (IBT) 79 (min. 18 in writing) PTE 60 (no skill score < 45) CAE Level B2 (176)
Special entry pathway: (exceptional circumstances)	Applicants may be eligible for special entry in exceptional circumstances in line with AIAT’s Admissions Policy. Special Entry Applicants whose study has been impacted by circumstances such as disability, illness or family disruption will be given special consideration for admission. Each application will be considered on its merit, based on the evidence supplied by the applicant attesting to the circumstances of the applicant. Applicants applying for special entry are required to meet the criteria of demonstrating their ability to study at the level required for the degree by satisfactory completion of one or more of the following: written or numerical tasks to assist with assessing eligibility for admission interview with the applicant written assignment which demonstrates their knowledge and abilities in the discipline area statement from previous education institution other evidence as required
Applicants with Indigenous Australian background:	Applicants are required to confirm their Aboriginality or Torres Strait Islander heritage at the time of application to be eligible for priority admission and access to Indigenous specific scholarships. Applicants who require support during the application process are encouraged to contact the Director, Learning and Teaching
Additional Note: Assessment of admission requirements is in accordance with AIAT’s Admissions Policy and Procedures. Meeting minimum admission criteria does not necessarily guarantee a place in the course

Total Course Hours
Contact Hours	576
Personal Study Hours	1344
TOTAL COURSE HOURS	1920

MASTER OF INFORMATION TECHNOLOGY